Expired60% confidenceFactExact time
The technical architecture of an Agentic Workflow typically includes a large language model as reasoning engine, function calling interfaces, memory modules, and a planning module
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Andrew Ng on AI Agent Development: Evaluation and Error Analysis Are the Core Competitive Advantage
bilibili吴恩达Agentic6/12/2026
Related Claims
UnverifiedMainstream Agent architectures typically use a large language model as the brain, combined with memory modules, planning modules, and tool interfaces to accomplish complex tasks85% similarUnverifiedThe Agent layer is essentially an automated task execution unit based on a large language model, equipped with tool-calling (Function Calling) capabilities.82% similarUnverifiedAgentic Workflows的底层技术基础包括ReAct框架、Chain-of-Thought提示工程以及Tool Use/Function Calling接口79% similarUnverifiedAgentic Loop的技术基础是大语言模型的工具调用（Tool Use/Function Calling）能力79% similarUnverifiedThe technical foundation for the shift to the Agent paradigm includes advances in large language models' reasoning capabilities, long-context processing, and Function Calling78% similar
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